Zobrazeno 1 - 10
of 495
pro vyhledávání: '"multimodal emotion recognition"'
Autor:
Nie Lulu
Publikováno v:
Paladyn, Vol 15, Iss 1, Pp pp. 94557-94572 (2024)
This study addresses the challenge of low recognition rates in emotion recognition systems, attributed to the vulnerability of sound data to ambient noise. To overcome this limitation, we propose a novel approach that leverages emotional information
Externí odkaz:
https://doaj.org/article/03014d3463344ec390f48015db8581b6
Publikováno v:
ARO-The Scientific Journal of Koya University, Vol 12, Iss 1 (2024)
The field of multimodal emotion recognition is increasingly gaining popularity as a research area. It involves analyzing human emotions across multiple modalities, such as acoustic, visual, and language. Emotion recognition is more effective as a mul
Externí odkaz:
https://doaj.org/article/22eba8c78f8f4559ab30300ae540a851
Autor:
Anamaria Radoi, George Cioroiu
Publikováno v:
IEEE Access, Vol 12, Pp 120362-120374 (2024)
Emotion recognition is a key research topic in the Affective Computing domain, with implications in marketing, human-robot interaction, and health domains. The continuous technological advances in terms of sensors and the rapid development of artific
Externí odkaz:
https://doaj.org/article/72d21aef0d4e475fa8f75a69aceaeac8
Publikováno v:
IEEE Access, Vol 12, Pp 118533-118550 (2024)
In today’s society, the harm of driving anger to traffic safety is increasingly prominent. With the development of human-computer interaction and intelligent transportation systems, the application of biometric technology in driver emotion recognit
Externí odkaz:
https://doaj.org/article/0c6aafec794a436bb18b0f7624992b0c
Publikováno v:
IEEE Access, Vol 12, Pp 103976-104019 (2024)
Emotion recognition involves accurately interpreting human emotions from various sources and modalities, including questionnaires, verbal, and physiological signals. With its broad applications in affective computing, computational creativity, human-
Externí odkaz:
https://doaj.org/article/3767080956974ebb97bc4c810db3497e
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 396-403 (2024)
Goal: As an essential human-machine interactive task, emotion recognition has become an emerging area over the decades. Although previous attempts to classify emotions have achieved high performance, several challenges remain open: 1) How to effectiv
Externí odkaz:
https://doaj.org/article/4d724c47499a483da4d4393346854a3f
Autor:
Zhijing Xu, Yang Gao
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 2488-2514 (2024)
Multimodal emotion analysis involves the integration of information from various modalities to better understand human emotions. In this paper, we propose the Cross-modal Emotion Recognition based on multi-layer semantic fusion (CM-MSF) model, which
Externí odkaz:
https://doaj.org/article/09668be42c8447b3bb61474a2aaeef88
Publikováno v:
IEEE Access, Vol 12, Pp 14324-14333 (2024)
Multimodal Emotion Recognition is an important research area for developing human-centric applications, especially in the context of video platforms. Most existing models have attempted to develop sophisticated fusion techniques to integrate heteroge
Externí odkaz:
https://doaj.org/article/00c25aa9305a431e90a4f6966eb43fe8
Publikováno v:
Sensors, Vol 24, Iss 18, p 5862 (2024)
Multimodal emotion classification (MEC) involves analyzing and identifying human emotions by integrating data from multiple sources, such as audio, video, and text. This approach leverages the complementary strengths of each modality to enhance the a
Externí odkaz:
https://doaj.org/article/e3c32daa8986439288dd8bff846af1c1
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 8071 (2024)
The dynamic expressions of emotion convey both the emotional and functional states of an individual’s interactions. Recognizing the emotional states helps us understand human feelings and thoughts. Systems and frameworks designed to recognize human
Externí odkaz:
https://doaj.org/article/057cf6311c45434683c7be41f24fa89a